DeepGait: Planning and Control of Quadrupedal Gaits using Deep Reinforcement Learning (Presentation)

Presentation @ ICRA 2020: We train neural-network policies for terrain-aware locomotion, which respectively plan and execute foothold and base motions over challenging terrains in simulated 3D environments using both proprioceptive and exteroceptive measurements. Journal article accepted to IEEE Robotics and Automation Letters (RA-L) and IEEE International Conference on Robotics and Automation (ICRA) 2020 in Paris, France: Paper: Preprint: Video by Vassilios Tsounis Music is “Always Then“ courtesy of The KVB